从尖端到尖端的时间:ChatGPT可以改善放射科医生的报告吗?
Rayan A Ahyad1, Yasir Zaylaee2, Tasneem Hassan2
1Department of Radiology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia. rahyad@kau.edu.sa.
用GPT-4驱动的工具可以将自由文本放射学报告转换为结构化报告,减少报告时间而不会影响质量. 对于人工智能辅助的报告,编辑时间的进一步改进是可能的.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 放射学中的结构化报告 (SR) 与自由文本 (FT) 相比具有优势,但面临实施挑战.
- 像GPT-4这样的大型语言模型为增强放射学报告工作流提供了机会.
研究的目的:
- 开发和评估GPT-4支持的Web应用程序,用于将自由文本放射学报告转换为结构化报告.
- 评估这个人工智能工具对报告时间和报告质量的影响.
主要方法:
- 两位放射科医生报告了30次腹腔皮层CT扫描,包括控制 (传统) 和人工智能辅助的会议.
- 在人工智能辅助的会议中,使用GPT-4网络应用程序将自由文本结构化为SR.
- 报告时间 (总报告时间和案件处理时间) 和质量评分进行了比较.
主要成果:
- 人工智能辅助报告显示,总报告时间和案件处理时间的减少趋势,尽管在统计学上并不显著.
- 人工智能辅助报告的质量评分与传统报告相当.
- 除了编辑时间外,人工智能辅助的案件处理时间在统计学上显著减少,与对照组相比.
结论:
- 一个GPT-4驱动工具可以有效地从自由文本生成结构化的放射学报告.
- 人工智能工具有可能减少报告时间,而不会对报告质量产生负面影响.
- 在人工智能辅助的工作流中优化编辑时间为进一步提高效率提供了途径.
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